1. Pal, Manojkumar et al. (2023). A multi-agent system for FJSP with setup and transportation times. Expert Systems with Applications, Volume 216, Article 119474.

2. Pal, Manojkumar et al. (2023). A multi-agent system for integrated scheduling and maintenance planning of the flexible job shop. Computers & Operations Research, Volume 159, Article 106365.

1. Pal, M., Mittal, M. L., Soni, G., & Kumar, M. (2023). Solving FJSP Using the Multi-Agent System with GA. In Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Springer Nature Singapore.
2. Pal, M., Mittal, M. L., & Soni, G. (2022). Solving Complex FJSP Using a Multi-Agent System with Heuristic. IEOM 2022, NIT Warangal.
3. Pal, M., Mittal, M. L., Soni, G., & Chouhan, S. S. (2023). Decentralized Scheduling for Flexible Job Shop with Sequence-Dependent Setup Time. IEOM 2023, Manila, Philippines.
4. Pal, M. et al. (2023). Decentralized Decision-Based Approach for Distributed (Multi-location) FJSP Considering Worker Management. Presented at the 10th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bangalore.
5. Pal, M. et al. (2024). A Multi-Agent Model with Hybrid Jaya Algorithm for Multi-Objective DFJSP with Energy Management. Presented at India Management Research Conference (IMRC) 2024, IIM Ahmedabad.
6. Pal, M. et al. (2024). Agents-Based Model for MODFJSP with Efficient Energy Consumption. Presented at the International Conference on Emerging Trends in Business Analytics & Management Sciences and the 57th Annual Convention of ORSI, IIT Bombay.
7. Pal, M. et al. (2025). A Sustainable Inventory Routing Problem for Logistics Operations in Manufacturing Supply Chain. Presented at the POMS India International Conference 2025, IIM Sambalpur.

Pal, M., Mittal, M. L., Soni, G., & Kumar, M. (2023). Solving FJSP Using the Multi-Agent System with GA. Published in Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 2, pp. 45–53. Springer Nature Singapore.

Amazon Warehousing Project
Role: Co-Principal Investigator (Co-PI)
Institution: Gati Shakti Vishwavidyalaya, Vadodara
Contributing to a research project focused on warehousing systems and related operational challenges.

• Energy-efficient scheduling for Distributed Flexible Job-Shop Scheduling Problems

• Worker management in distributed manufacturing systems.

• Cooperative multi-agent systems for integrated scheduling considering transportation, setup, and maintenance.

• Dynamic game-theoretic agentic AI models for sustainable quick commerce.

• Hybrid Deep Reinforcement Learning and Multi-Agent Systems for flexible manufacturing systems.

 Reviewer for reputed international journals, including Computers & Industrial Engineering, International Journal of Production Research, International Journal of Reliability, Quality & Safety Engineering, and International Journal of Mathematical, Engineering and Management Sciences.